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1

Jaivarsan

greed2411

Only the paranoid survive.
Chennai, India.
Commits
514
Repos
35
Lines of code
309215
Following
0
2
Overview
35 repos
Last updated: 2019/04/18 — 23:04:00
3
Languages
35 repos
Last updated: 2019/04/18 — 23:04:00
Python
 
Commits:
409
LOC:
55989
HTML
 
Commits:
188
LOC:
31502
JavaScript
 
Commits:
122
LOC:
23392
CSS
 
Commits:
81
LOC:
26517
SQL
 
Commits:
4
LOC:
131
C
 
Commits:
1
LOC:
39
5
Fun facts
35 repos
Last updated: 2019/04/18 — 23:04:00

I'm most productive during

evenings
39% of users
e

I'm most productive on

Tuesdays
16% of users
Tu

I prefer

snake_case

for naming variables

I prefer

spaces

for indentation

I prefer

list comprehensions
6
Repositories
35 repos
Last updated: 2019/04/18 — 23:04:00
#
Repository
Commits
Team
Language
Timeline
2
MSW
77
2
Python
Motus Simulation Website, using materializecss and flask
3
YDL
76
2
Python
🔥YouTube Downloader🔥 for downloading audio files 🎧, video files 🎞️, playlists of both video and audio ⏯️ at the preferred quality 📺 for free 🆓. 
4
ML
60
1
Python
Machine Learning Experiments with scikit-learn, Deep learning with Keras, TensorFlow and Pytorch. Data Science examples for various datasets and competitions from Kaggle and Analytics Vidhya.
5
WFC
30
1
Python
Word Frequency Counter used to scrap all headlines of the first twenty pages from new.ycombinator.com 
6
ASF
22
1
Python
Anti Spam Filter, a spam filter 🗃️ which uses a model made out of MultinomialNB algorithm 👈 from scikit-learn 🐍 to classify spam and complaints.
7
LCS
18
1
Python
The longest common subsequence (LCS) problem is the problem of finding the longest subsequence common to all sequences in a set of sequences (often just two sequences). It differs from problems of finding common substrings: unlike substrings, subsequences are not required to occupy consecutive positions within the original sequences. The longest common subsequence problem is a classic computer science problem, and has applications in bioinformatics.
8
NDL
15
1
Python
Numbers Don't Lie,  attempt on Data Analysis using pandas and matplotlib.
9
PDFtools
14
2
Python
Scripts to merge and split PDFs, merge images into PDFs
10
kNN
13
1
Python
Using k-Nearest Neighbors algorithm, training it using 2/3rd of the iris.data and using the rest of the 1/3rd for the test case, and yield prediction for those 1/3rd with an accuracy usually greater than 90% , and this algorithm is implemented without using Python scikit-learn.
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7
⭐ Coworker Superstars
waghanza
Top Crystal developer
Ranked higher than 89% of users
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